Skip to main content
Log in

Extragradient Methods for Pseudomonotone Variational Inequalities

  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

We consider and analyze some new extragradient-type methods for solving variational inequalities. The modified methods converge for a pseudomonotone operator, which is a much weaker condition than monotonicity. These new iterative methods include the projection, extragradient, and proximal methods as special cases. Our proof of convergence is very simple as compared with other methods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bertsekas, D. P., and Tsitsiklis, J., Parallel and Distributed Computation: Numerical Methods, Prentice Hall, Englewood Cliffs, New Jersey, 1989.

    Google Scholar 

  2. Giannessi, F., and Maugeri, A., Variational Inequalities and Network Equilibrium Problems, Plenum Press, New York, NY, 1995.

    Google Scholar 

  3. Noor, M.A., Some Recent Advances in Variational Inequalities, Part 1; Basic Concepts, New Zealand Journal of Mathematics, Vol. 26, pp. 53–80, 1997.

    Google Scholar 

  4. Noor, M.A., Some Recent Advances in Variational Inequalities, Part 2: Other Concepts, New Zealand Journal of Mathematics, Vol. 26, pp. 229–255, 1997.

    Google Scholar 

  5. Han, D., and Lo, H.K., Two New Self-Adaptive Projection Methods for Variational Inequality Problems, Computer and Mathematics with Applications, Vol. 43, pp. 1529–1537, 2002.

    Google Scholar 

  6. He, B. S., and Liao, L. Z., Improvement of Some Projection Methods for Monotone Nonlinear Variational Inequalities, Journal of Optimization Theory and Applications, Vol. 112, pp. 111–128, 2002.

    Google Scholar 

  7. Gabay, D., Applications of the Method of Multipliers to Variational Inequalities, Augmented Lagrangian Methods, Edited by M. Fortin and R. Glowinski, North-Holland, Amsterdam, Holland, pp. 299–331, 1983.

    Google Scholar 

  8. Wang, Y., Xiu, N., and Wang, C., A New Version of the Extragradient Method for Variational Inequality Problems, Computers and Mathematics with Applications, Vol. 42, pp. 969–979, 2001.

    Google Scholar 

  9. Noor, M.A., Operator-Splitting Methods for General Mixed Variational Inequalities, Journal of Inequalities in Pure and Applied Mathematics, Vol. 3, pp. 1–9, 2002.

    Google Scholar 

  10. Noor, M.A., New Extragradient-Type Methods for General Variational Inequalities, Journal of Mathematical Analysis and Applications, Vol. 277, pp. 379–395, 2002.

    Google Scholar 

  11. Noor, M.A., A Modified Extragradient Method for General Monotone Variational Inequalities, Computers and Mathematics with Applications, Vol. 38, pp. 19–24, 1999.

    Google Scholar 

  12. Noor, M.A., Some Algorithms for General Monotone Mixed Variational Inequalities, Mathematics and Computer Modelling, Vol. 29, pp. 1–9, 1999.

    Google Scholar 

  13. Alvarez, F., On the Minimization Property of a Second-Order Dissipative System in Hilbert Spaces, SIAM Journal on Control and Optimization, Vol. 38, pp. 1102–1119, 2000.

    Google Scholar 

  14. Stampacchia, G., Formes Bilineaires Coercitives sur les Ensembles Convexes, Comptes Rendus de l'Academie des Sciences, Paris, Vol. 258, pp. 4413–4416, 1964.

  15. Alvarez, F., and Attouch, H., An Inertial Proximal Method for Maximal Monotone Operators via Discretization of a Nonlinear Oscillator with Damping, Set-Valued Analysis, Vol. 9, pp. 3–11, 2001.

    Google Scholar 

  16. Noor, M.A., Algorithms for General Variational Inequalities, Journal of Mathematical Analysis and Applications (to appear).

  17. Patriksson, M., Nonlinear Programming and Variational Inequalities: A Unified Approach, Kluwer Academic Publishers, Dordrecht, Holland, 1998.

    Google Scholar 

  18. Noor, M. A., and Al-Said, E., Wiener-Hopf Equations Technique for Quasimonotone Variational Inequalities, Journal of Optimization Theory and Applications, Vol. 103, pp. 754–714, 1999.

    Google Scholar 

  19. He, B.S., A Class of Projection and Contraction Methods for Monotone Variational Inequalities, Applied Mathematics and Optimization, Vol. 35, pp. 69–76, 1997.

    Google Scholar 

  20. Solodov, M. V., and Tseng, P., Modified Projection-Type Methods for Monotone Variational Inequalities, SIAM Journal on Control and Optimization, Vol. 34, pp. 1814–1830, 1996.

    Google Scholar 

  21. Noor, M. A., Wang, Y., and Xiu, N., Some Projection Methods for Variational Inequalities, Applied Mathematics and Computation, Vol. 137, pp. 423–435, 2003.

    Google Scholar 

  22. Tseng, P., A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings, SIAM Journal on Control and Optimization, Vol. 38, pp. 431-446, 2000

    Google Scholar 

  23. Noor, M. A., Noor, K. I., and Rassias, T.M., Some Aspects of Variational Inequalities, Journal of Computational and Applied Mathematics, Vol. 47, pp. 285–312, 1993.

    Google Scholar 

  24. Sun, D., A Class of Iterative Methods for Solving Nonlinear Projection Equations, Journal of Optimization Theory and Applications, Vol. 91, pp. 123–140, 1996.

    Google Scholar 

  25. Noor, M. A., and Rassias, T.M., A Class of Projection Methods for General Variational Inequalities, Journal of Mathematical Analysis and Applications, Vol. 268, pp. 334–343, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Noor, M. Extragradient Methods for Pseudomonotone Variational Inequalities. Journal of Optimization Theory and Applications 117, 475–488 (2003). https://doi.org/10.1023/A:1023989403613

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1023989403613

Navigation